Defining Postinduction Hemodynamic Instability With an Automated Classification Model
Based on the high sensitivity and specificity, the developed model is able to differentiate between clinically relevant hemodynamic instability and hemodynamic stable patients. This classification model will pave the way for future research concerning hemodynamic instability and its prevention.
Authors
- Eline Kho (ORCID: https://orcid.org/0000-0003-2001-4111)
- Jimmy Schenk (ORCID: https://orcid.org/0000-0003-0570-0017)
- Rogier V. Immink (ORCID: https://orcid.org/0000-0003-2427-6514)
- Lotte E. Terwindt (ORCID: https://orcid.org/0000-0002-8150-9348)
- Ward H. van der Ven (ORCID: https://orcid.org/0000-0003-0508-0620)
- Johan T.M. Tol
- Denise Petra Veelo (ORCID: https://orcid.org/0000-0001-6196-1671)
- Alexander P. J. Vlaar (ORCID: https://orcid.org/0000-0002-3453-7186)
- Björn Jacob Petrus van der Ster
- Markus W. Hollmann
Institutions
- Amsterdam University Medical Centers (NL)
- University of Amsterdam (NL)
Publication Details
- Journal
- Anesthesia & Analgesia
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1213/ane.0000000000007315
- Citations
- 3
- Primary Topic
- Cardiovascular Function and Risk Factors
- Type
- article
- Field-Weighted Citation Impact
- 1.21
Funders
- Amsterdam University Medical Centers